IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
Multilinear Analysis of Image Ensembles: TensorFaces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Summed-area tables for texture mapping
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Robust Real-Time Face Detection
International Journal of Computer Vision
A novel method for detecting lips, eyes and faces in real time
Real-Time Imaging - Special issue on spectral imaging
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Skin Segmentation Using Color Pixel Classification: Analysis and Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Euclidean Distance of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Eye Detection and Its Validation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
An Introduction to 3D Computer Vision Techniques and Algorithms
An Introduction to 3D Computer Vision Techniques and Algorithms
Handwritten digit classification using higher order singular value decomposition
Pattern Recognition
A visual approach for driver inattention detection
Pattern Recognition
Editorial: Hybrid learning machines
Neurocomputing
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Logic-oriented neural networks for fuzzy neurocomputing
Neurocomputing
Tensor Decompositions and Applications
SIAM Review
EEG-based drivers' drowsiness monitoring using a hierarchical Gaussian mixture model
FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation
Robust precise eye location under probabilistic framework
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Machine Vision and Applications
Visual system for drivers' eye recognition
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Driver status recognition by neighborhood covering rules
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Image segmentation with a hybrid ensemble of one-class support vector machines
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Designing fusers on the basis of discriminants – evolutionary and neural methods of training
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Adding parallelism to the hybrid image processing library in multi-threading and multi-core systems
NESEA '11 Proceedings of the 2011 IEEE 2nd International Conference on Networked Embedded Systems for Enterprise Applications
Real-Time Gaze Estimator Based on Driver's Head Orientation for Forward Collision Warning System
IEEE Transactions on Intelligent Transportation Systems
Driver Inattention Monitoring System for Intelligent Vehicles: A Review
IEEE Transactions on Intelligent Transportation Systems
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This paper presents a hybrid visual system for monitoring driver's states of fatigue, sleepiness and inattention based on driver's eye recognition. Safe operation in car conditions and processing in daily and night conditions are obtained thanks to the custom setup of two cameras operating in the visible and near infra-red spectra, respectively. In each of these spectra image processing is performed by a cascade of two classifiers. The first classifier in a cascade is responsible for detection of eye regions based on the proposed eye models specific to each spectrum. The second classifier in each cascade is responsible for eye verification. It is based on the higher order singular value decomposition of the tensors of geometrically deformed versions of real eye prototypes, specific to the visible and NIR spectra. Experiments were performed in real car conditions in which four volunteer drivers participated. The obtained results show high recognition accuracy and real-time processing in software implementation. Thanks to these the system can become a part of the advanced driver's assisting system.